Sr. Software Engineer - Infrastructure

About LeapYear

The rise of large-scale data collection and machine learning has been accompanied by pressing questions related to privacy, security, and data access.

LeapYear builds technology to address these issues in a scalable, rigorous, and future-proof way.

With LeapYear, some of the largest enterprises in the world are able to break down data silos, form data partnerships, and accelerate the adoption of machine learning, all with mathematically proven privacy protection.

Position

LeapYear is looking for versatile problem solvers that are interested in developer productivity, automation, and cloud infrastructure.

Responsibilities:

• Build the network and scale our existing systems using Infrastructure as Code
• Partner with product management to define problems and identify iterative solutions
• Balance immediate business objectives against a long-term architectural vision
• Contribute to an engineering-wide culture of code quality and shared responsibility for testing
• Contribute to other engineer's personal development by sharing knowledge, mentoring, and coaching

Your qualification

• 7+ years of general software programming experience, including regular use of major scripting languages (Python, Bash, Ruby, Java)
• 5+ years of experience building network infrastructure, preferably with Infrastructure as Code tools
• 2+ years of experience using Infrastructure as Code tools such as Terraform, AWS CloudFormation, Ansible, and Packer
• 2+ years of experience building infrastructure with containers and using tools such as Kubernetes, Docker Compose or Docker
• Enterprise experience with Linux systems administration, command line tools, and various distributions of Linux (Red Hat, Centos, Ubuntu, etc)
• Experience with Continuous Integration/Continuous Deployment tools such as CircleCi, Jenkins or Spinnaker (CircleCI preferred)
• Experience with services provided by AWS, GCP, VMware and Azure (AWS and GCP preferred)

Will be a plus

• Experience with administering and running Hadoop and Spark clusters
• Experience working in a startup environment
• Experience with security best practices in Linux system administration and cloud infrastructure
• Experience using secret management tools such as Vault or AWS/GCP secret manager
• Experience testing the results of statistical analysis, preferably machine learning
• Experience with Maven, Bazel, Gradle, or other modern build systems
• Acquainted with and interested in functional programming (Haskell, OCaml, Clojure, Erlang, Scala)

What we offer

• Culture of teaching and learning
• Competitive compensation package of salary and equity
• Catered lunch every day
• Company outings
• Build your ideal work station
• Generous health insurance plan
• Relocation support and visa sponsorship